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Fairphone announces the €599 Fairphone 6, with a 6.31" 120Hz LTPO OLED display, a Snapdragon 7s Gen 3 chip, and enhanced modularity with 12 swappable parts

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  • Amazon Workers Defy Dictates of Automation

    Technology technology
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    T
    The amount of times the shit breaks down combined with the slower speeds means it doesn't really matter if they work 24/7 right now. Yes, robots are coming, but amazon has been acting like they will be here tomorrow since it's inception. The reality is robots that cost less than people that at least do comparable work in the same time frame is still a decade or 2 away optimistically. Amazon trying to force it doesn't change that. Amazon is to robots what meta is to vr. Dumping tons of money trying to force the 'future' today.
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    Niemand hat geantwortet
  • 311 Stimmen
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    Same, especially when searching technical or niche topics. Since there aren't a ton of results specific to the topic, mostly semi-related results will appear in the first page or two of a regular (non-Gemini) Google search, just due to the higher popularity of those webpages compared to the relevant webpages. Even the relevant webpages will have lots of non-relevant or semi-relevant information surrounding the answer I'm looking for. I don't know enough about it to be sure, but Gemini is probably just scraping a handful of websites on the first page, and since most of those are only semi-related, the resulting summary is a classic example of garbage in, garbage out. I also think there's probably something in the code that looks for information that is shared across multiple sources and prioritizing that over something that's only on one particular page (possibly the sole result with the information you need). Then, it phrases the summary as a direct answer to your query, misrepresenting the actual information on the pages they scraped. At least Gemini gives sources, I guess. The thing that gets on my nerves the most is how often I see people quote the summary as proof of something without checking the sources. It was bad before the rollout of Gemini, but at least back then Google was mostly scraping text and presenting it with little modification, along with a direct link to the webpage. Now, it's an LLM generating text phrased as a direct answer to a question (that was also AI-generated from your search query) using AI-summarized data points scraped from multiple webpages. It's obfuscating the source material further, but I also can't help but feel like it exposes a little of the behind-the-scenes fuckery Google has been doing for years before Gemini. How it bastardizes your query by interpreting it into a question, and then prioritizes homogeneous results that agree on the "answer" to your "question". For years they've been doing this to a certain extent, they just didn't share how they interpreted your query.
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    E
    Well fuck me I guess lol
  • Twitch is getting vertical livestreams

    Technology technology
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    zombiemantis@lemmy.worldZ
    Oh, yeah, that makes sense. I kinda assumed they already supported it, like YouTube Shorts adopting the vertical format for shorts after Ticktock blew up.
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    blue_berry@lemmy.worldB
    Cool. Well, the feedback until now was rather lukewarm. But that's fine, I'm now going more in a P2P-direction. It would be cool to have a way for everybody to participate in the training of big AI models in case HuggingFace enshittifies
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    paraphrand@lemmy.worldP
    Network Effects.
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    I don't think accuracy is an issue either. I've been on the web since inception and we always had a terribly inaccurate information landscape. It's really about individual ability to put together found information to an accurate world model and LLMs is a tool just like any other. The real issues imo are effects on society be it information manipulation, breaking our education and workforce systems. But all of that is overshadowed by meme issues like energy use or inaccuracy as these are easy to understand for any person while sociology, politics and macro economics are really hard.